Non-invasive, Brain-controlled Functional Electrical Stimulation for Locomotion Rehabilitation in Individuals with Paraplegia
Open accessAbstract
Spinal cord injury (SCI) impairs the flow of sensory and motor signals between the brain and the areas of the body located below the lesion level. Here, we describe a neurorehabilitation setup combining several approaches that were shown to have a positive effect in patients with SCI: gait training by means of non-invasive, surface functional electrical stimulation (sFES) of the lower-limbs, proprioceptive and tactile feedback, balance control through overground walking and cue-based decoding of cortical motor commands using a brain-machine interface (BMI). The central component of this new approach was the development of a novel muscle stimulation paradigm for step generation using 16 sFES channels taking all sub-phases of physiological gait into account. We also developed a new BMI protocol to identify left and right leg motor imagery that was used to trigger an sFES-generated step movement. Our system was tested and validated with two patients with chronic paraplegia. These patients were able to walk safely with 65–70% body weight support, accumulating a total of 4,580 steps with this setup. We observed cardiovascular improvements and less dependency on walking assistance, but also partial neurological recovery in both patients, with substantial rates of motor improvement for one of them.
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Brain-controlled neuromuscular stimulation also mediated durable functional improvements of the engaged muscles after stroke and spinal cord injury.
“Brain-controlled neuromuscular stimulation also mediated durable functional improvements of the engaged muscles after stroke36 and spinal cord injury22,24,37.”
From Walking naturally after spinal cord injury using a brain–spine interface (2023) · cites this paper as [24]
The Results (Clinical improvements; page unavailable) report improved motor function in stimulated muscles of two patients with spinal cord injury, assessed without stimulation after training. The paper does not establish that those improvements persisted over a longer follow-up period, so the claim of durability is not supported by this source. (LLM, conf=0.86)
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Walking naturally after spinal cord injury using a brain–spine interface
Lorach, H., Galvez, A., Spagnolo, V., Martel, F., Karakas, S., Intering, N., Vat, M., Faivre, O., Harte, C., Komi, S., et al. (2023) · Nature · doi:10.1038/s41586-023-06094-5 · Cited by 631 · see citing works
“Comparable observations have been reported when electroencephalographic signals were coupled to an exoskeleton or functional electrical stimulation of muscles during gait rehabilitation in people with spinal cord injury 22,24,35 .”
Background
- Authors
- Selfslagh, A., Shokur, S., Campos, D. S. F., Donati, A. R. C., Almeida, S., Yamauti, S. Y., Coelho, D. B., Bouri, M., & Nicolelis, M. A. L.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- Associação de Assistência à Criança Deficiente (BR)
- Universidade Federal do ABC (BR)
- Duke University (US)
- Corresponding author
- Nicolelis, Miguel A. L.
- Venue
- Scientific Reports
- Published
- 2019-05-01
- Volume
- 9
- Issue
- 1
- Pages
- 6782-6782
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6494802
- OpenAlex
- W2942835517
- Cited by
- 78
- References
- 73
- Citations by year
- 2026: 4 · 2025: 16 · 2024: 8 · 2023: 6 · 2022: 19 · 2021: 13 · 2020: 10 · 2019: 2
- FWCI
- 8.10
- Type
- journal article
- Language
- en
- Update notices
- correction (2019-12-04)
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Ministério da Ciência, Tecnologia e Inovação
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Financiadora de Estudos e Projetos
- Fundação de Apoio à Pesquisa do Rio Grande do Norte
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Spinal Cord Injury Research
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- spinal cord injury, paraplegia, brain-computer interface, motor imagery, gait training, body weight support, proprioceptive feedback, tactile feedback, balance control, neurorehabilitation
- MeSH terms
- Neurological Rehabilitation, Adult, Brain, Electric Stimulation Therapy, Exercise Therapy, Gait, Humans, Locomotion, Paraplegia, Spinal Cord Injuries, Walking
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